def test_run_batch():
program = ParentProgram(
[
cirq.Circuit(
cirq.X(Q)**sympy.Symbol('t'), cirq.measure(Q, key='m')),
cirq.Circuit(
cirq.X(Q)**sympy.Symbol('x'), cirq.measure(Q, key='m2')),
],
None,
)
job = SimulatedLocalJob(
job_id='test_job',
processor_id='test1',
parent_program=program,
repetitions=100,
sweeps=[
cirq.Points(key='t', points=[1, 0]),
cirq.Points(key='x', points=[0, 1])
],
)
assert job.execution_status() == quantum.enums.ExecutionStatus.State.READY
results = job.batched_results()
assert np.all(results[0][0].measurements['m'] == 1)
assert np.all(results[0][1].measurements['m'] == 0)
assert np.all(results[1][0].measurements['m2'] == 0)
assert np.all(results[1][1].measurements['m2'] == 1)
assert job.execution_status(
) == quantum.enums.ExecutionStatus.State.SUCCESS
def test_run():
program = ParentProgram(
[cirq.Circuit(cirq.X(Q), cirq.measure(Q, key='m'))], None)
job = SimulatedLocalJob(job_id='test_job',
processor_id='test1',
parent_program=program,
repetitions=100,
sweeps=[])
assert job.id() == 'test_job'
assert job.execution_status() == quantum.enums.ExecutionStatus.State.READY
results = job.results()
assert np.all(results[0].measurements['m'] == 1)
assert job.execution_status(
) == quantum.enums.ExecutionStatus.State.SUCCESS
def test_run_async():
qubits = cirq.LineQubit.range(20)
c = cirq.testing.random_circuit(qubits, n_moments=20, op_density=1.0)
c.append(cirq.measure(*qubits))
program = ParentProgram([c], None)
job = SimulatedLocalJob(
job_id='test_job',
processor_id='test1',
parent_program=program,
repetitions=100,
sweeps=[{}],
simulation_type=LocalSimulationType.ASYNCHRONOUS,
)
assert job.execution_status() == quantum.ExecutionStatus.State.RUNNING
_ = job.results()
assert job.execution_status() == quantum.ExecutionStatus.State.SUCCESS
def test_run_batch(simulation_type):
program = ParentProgram(
[
cirq.Circuit(
cirq.X(Q)**sympy.Symbol('t'), cirq.measure(Q, key='m')),
cirq.Circuit(
cirq.X(Q)**sympy.Symbol('x'), cirq.measure(Q, key='m2')),
],
None,
)
job = SimulatedLocalJob(
job_id='test_job',
processor_id='test1',
parent_program=program,
simulation_type=simulation_type,
repetitions=100,
sweeps=[
cirq.Points(key='t', points=[1, 0]),
cirq.Points(key='x', points=[0, 1])
],
)
if simulation_type == LocalSimulationType.ASYNCHRONOUS:
# Note: The simulation could have finished already
assert (job.execution_status() == quantum.ExecutionStatus.State.RUNNING
or job.execution_status()
== quantum.ExecutionStatus.State.SUCCESS)
else:
assert job.execution_status() == quantum.ExecutionStatus.State.READY
results = job.batched_results()
assert np.all(results[0][0].measurements['m'] == 1)
assert np.all(results[0][1].measurements['m'] == 0)
assert np.all(results[1][0].measurements['m2'] == 0)
assert np.all(results[1][1].measurements['m2'] == 1)
assert job.execution_status() == quantum.ExecutionStatus.State.SUCCESS
# Using flattened results
results = job.results()
assert np.all(results[0].measurements['m'] == 1)
assert np.all(results[1].measurements['m'] == 0)
assert np.all(results[2].measurements['m2'] == 0)
assert np.all(results[3].measurements['m2'] == 1)
for result in results:
assert result.job_id == 'test_job'
assert result.job_finished_time is not None
assert results == cirq.read_json(json_text=cirq.to_json(results))
def test_cancel():
program = ParentProgram(
[cirq.Circuit(cirq.X(Q), cirq.measure(Q, key='m'))], None)
job = SimulatedLocalJob(job_id='test_job',
processor_id='test1',
parent_program=program,
repetitions=100,
sweeps=[])
job.cancel()
assert job.execution_status() == quantum.ExecutionStatus.State.CANCELLED